Sensing ultrasound localization microscopy for the visualization of glomeruli in living rats and humans

Denis, Louise; Bodard, Sylvain; Hingot, Vincent; Chavignon, Arthur; Battaglia, Jacques; Renault, Gilles; Lager, Franck; Aissani, Abderrahmane Walid; Hélénon, O.; Corréas, Jean-Michel; Couture, Olivier

doi:10.1016/j.ebiom.2023.104578

Cited by 19 publications

(11 citation statements)

References 41 publications

(55 reference statements)

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“…In conclusion, 3D ULM is an emerging technology with a wide range of applications for microvascular imaging [8], [9], [11], [34]. Its precise quantification of microbubble flow in any direction could become a powerful visualization tool for organs and pathologies lacking the planar vascular organization, such as tumors, liver, pancreas and deep cerebral regions.…”

Section: Discussionmentioning

confidence: 99%

Deep and Complex Vascular Anatomy in the Rat Brain Described With Ultrasound Localization Microscopy in 3D

Chavignon,

Heiles,

Hingot

et al. 2023

IEEE Open J. Ultrason., Ferroelect., Freq. Contr.

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Ultrasound Localization Microscopy (ULM) enables imaging microvessels in the brain with a resolution of a few tens of micrometers in-vivo. The planar architecture of arterioles and venules was revealed with a 2D ultrasound scanner in the cortex of the rat brain. However, deeper in the brain, where the vascularization becomes tri-dimensional, 2D imaging remains limited by the elevation projection. In this study, volumetric ultrasound imaging was performed in the craniotomized rat brain to yield 3D ULM in vivo within 7.5 min of acquisition with a commercial system. For instance, it highlighted the thalamus or the circle of Willis with small vessels down to 21 µm. Microbubbles tracking also gave access to the 3D velocity vector of blood flow allowing to distinguish flow directions. Volumetric ULM resolved deep complex tri-dimensional vascular structures and was compared to 2D ULM. It is a safe, simple and repeatable system to image wide field of view in the brain. INDEX TERMS brain vascular imaging; ultrasound imaging; ultrasound localization microscopy; 3D ultrasound imaging.

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Section: Discussionmentioning

confidence: 99%

Deep and Complex Vascular Anatomy in the Rat Brain Described With Ultrasound Localization Microscopy in 3D

Chavignon,

Heiles,

Hingot

et al. 2023

IEEE Open J. Ultrason., Ferroelect., Freq. Contr.

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“…In conjunction with this, ULM is able to provide quantitative information on blood velocities in the cortical area ( 40 ). Moreover, the application of sensing ULM (sULM) technology allows for the observation of individual glomeruli within transplanted kidneys ( 41 ). Therefore, we believe that inclusion of ULM in subsequent research can improve our results.…”

Section: Discussionmentioning

confidence: 99%

A nomogram based on contrast-enhanced ultrasound for evaluating the glomerulosclerosis rate in transplanted kidneys

Xu,

Wang,

Hong

et al. 2024

Quant Imaging Med Surg

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Background A high rate of glomerulosclerosis serves as an important signal of poor response to treatment and a high risk of disease progression or adverse prognosis in transplanted kidneys. We hypothesized that contrast-enhanced ultrasound (CEUS) could serve as a novel imaging biomarker in the early prediction of glomerulosclerosis rate by evaluating renal allograft microcirculation. Methods A retrospective analysis was performed on 143 transplanted kidney recipients with confirmed pathology, including 100 in the training group and 43 in the validation group. All patients underwent conventional ultrasound (CUS) and CEUS examinations. The patients were divided into two groups: those with >50% glomerulosclerosis and those with ≤50% glomerulosclerosis. The nomograms derived from independent predictors identified by multivariate logistic analysis were assessed using receiver operating characteristic (ROC) curve analysis, 1,000 bootstrap resamples, calibration curves, and decision curve analysis (DCA). Results The patients with >50% glomerulosclerosis and those with ≤50% glomerulosclerosis showed statistically significant differences in CEUS parameters, including in peak intensity (PI) (25 vs. 30; P<0.001), absolute time to peak (ATTP) (10 vs. 9; P=0.004), and time to peak (TTP) (22 vs. 19.5; P=0.026). Multivariate analysis revealed that PI [odds ratio (OR) =0.852; 95% confidence interval (CI): 0.737–0.986], peak systolic velocity (PSV) of the interlobar artery (OR =0.850; 95% CI: 0.758–0.954), cortical echogenicity (OR =38.429; 95% CI: 3.695–399.641), and time since transplantation (OR =1.017; 95% CI: 1.006–1.028) were independent predictors of whether the glomerulosclerosis rate was >50% and were incorporated into the construction of a nomogram. The area under the curve (AUC) of the nomogram in the training and validation groups was 0.914 (95% CI: 0.840–0.960) and 0.909 (95% CI: 0.781–0.975), respectively, with a bootstrap resampling AUC of 0.877. The calibration curve and DCA confirmed the diagnostic performance of the nomogram model. Conclusions The nomogram, which combined CUS, CEUS, and clinical indicators, exhibited notable predictive efficacy for the glomerulosclerosis rate in transplanted kidneys, thereby demonstrating the potential to improve clinical decision-making.

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“…Better resolution can be possibly achieved through super‐resolution localization techniques, although this may come at the cost of increased acquisition time and require the use of contrast agents. [ 56 , 62 ] With improved resolution, we might be able to directly observe glomerular and tubular pathogenesis. Moreover, the current linear scanning method results in anisotropic resolutions in the cross‐sectional and elevational directions.…”

Section: Discussionmentioning

confidence: 99%

Contrast Agent‐Free 3D Renal Ultrafast Doppler Imaging Reveals Vascular Dysfunction in Acute and Diabetic Kidney Diseases

Oh,

Lee,

Heo

et al. 2023

Advanced Science

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To combat the irreversible decline in renal function associated with kidney disease, it is essential to establish non‐invasive biomarkers for assessing renal microcirculation. However, the limited resolution and/or vascular sensitivity of existing diagnostic imaging techniques hinders the visualization of complex cortical vessels. Here, a 3D renal ultrafast Doppler (UFD) imaging system that uses a high ultrasound frequency (18 MHz) and ultrahigh frame rate (1 KHz per slice) to scan the entire volume of a rat's kidney in vivo is demonstrated. The system, which can visualize the full 3D renal vascular branching pyramid at a resolution of 167 µm without any contrast agent, is used to chronically and noninvasively monitor kidneys with acute kidney injury (AKI, 3 days) and diabetic kidney disease (DKD, 8 weeks). Multiparametric UFD analyses (e.g., vessel volume occupancy (VVO), fractional moving blood volume (FMBV), vessel number density (VND), and vessel tortuosity (VT)) describe rapid vascular rarefaction from AKI and long‐term vascular degeneration from DKD, while the renal pathogeneses are validated by in vitro blood serum testing and stained histopathology. This work demonstrates the potential of 3D renal UFD to offer valuable insights into assessing kidney perfusion levels for future research in diabetes and kidney transplantation.

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Sensing ultrasound localization microscopy for the visualization of glomeruli in living rats and humans

Cited by 19 publications

References 41 publications

Deep and Complex Vascular Anatomy in the Rat Brain Described With Ultrasound Localization Microscopy in 3D

Deep and Complex Vascular Anatomy in the Rat Brain Described With Ultrasound Localization Microscopy in 3D

A nomogram based on contrast-enhanced ultrasound for evaluating the glomerulosclerosis rate in transplanted kidneys

Contrast Agent‐Free 3D Renal Ultrafast Doppler Imaging Reveals Vascular Dysfunction in Acute and Diabetic Kidney Diseases

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